A Feature-Based Robust Digital Image Watermarking Scheme Using Image Normalization and Quantization

This paper presents a feature point based image watermarking scheme to achieve binary digital image´s imbedded and blind extraction. Firstly, the stable image feature points are extracted from the host image by using image normalization and the scale-invariant feature transform, which can resist toward desynchronization attacks. Then Discrete Wavelet Transform (DWT) is used to the local feature regions(LFR). Finally, each LFR is embeds watermark. Experimental results show that the proposed image watermarking can resist both traditional signal processing attacks and geometric attacks.